Abstract: The techniques disclosed herein enable systems to enable multi-market optimization of renewable energies using data-driven models. To achieve this, a model retrieves a current state from a resource generation system and associated resource markets. The model can then compute a policy based on the state as well physical and technical constraints. The policy defines various actions that direct operation of the resource generation system such as resource production and dispatch to markets. Applying the policy to the resource generation results in a modified state which the model extracts along with a measure of optimality which quantifies the success of the policy. Based on these metrics, the model can generate an updated iteration of the policy defining a different set of actions. In this way, the model can gradually develop an optimal policy for controlling the resource generation system.

Abstract: One embodiment provides a method including: prior to an initial period of operation of an appliance, storing in memory a first set of characteristics of the appliance; during an initial period of operation of the appliance, learning a second set of characteristics of the appliance; during subsequent operation of the appliance: detecting an adverse operating condition of the appliance; and based on the first set of characteristics, the second set of characteristics and the detected adverse operating condition, determining a corrective action to be taken with regard to the appliance, the corrective action comprising at least one of: switching off the appliance and warning a user of the detected adverse operating condition. Other aspects are described and claimed.

Abstract: Methods and arrangements for managing electricity generation in a distributed electricity generation system. A plurality of data inputs are received comprising: a sensed state of a power grid; a sensed state of local energy storage; and a sensed demand of a local electricity load. The data inputs are combined, and, based on the combined data inputs, there is determined a destination of electricity that is generated in the distributed electricity generation system. The at least one destination is selected from the group consisting of: a local electricity load, the power grid, and the local energy storage. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods and arrangements for load-shifting time deferrable devices. An electrical load scheduling mechanism is provided, and this is placed in communication with an appliance. Electrical grid load conditions are assessed, and delivery of electrical power to the appliance is scheduled via the electrical load scheduling mechanism. The scheduling includes altering a predetermined delivery of electric power to the appliance based on the assessed electrical grid conditions.

Abstract: Methods and arrangements for calculating a power budget. Data are received, the data including data relating to a current state of an electrical grid at a power-drawing location which draws at least one variable electrical load, the at least one variable electrical load being subject to variable pricing. At least one prediction is determined, the at least one prediction pertaining to a future state of the electrical grid and a future electrical load to be drawn at the power-drawing location. A power budget is thereupon calculated, with respect to the power-drawing location, based on the data and the at least one prediction. Other variants and embodiments are broadly contemplated herein.

Abstract: One embodiment provides a method including: prior to an initial period of operation of an appliance, storing in memory a first set of characteristics of the appliance; during an initial period of operation of the appliance, learning a second set of characteristics of the appliance; during subsequent operation of the appliance: detecting an adverse operating condition of the appliance; and based on the first set of characteristics, the second set of characteristics and the detected adverse operating condition, determining a corrective action to be taken with regard to the appliance, the corrective action comprising at least one of: switching off the appliance and warning a user of the detected adverse operating condition. Other aspects are described and claimed.

Abstract: Methods and arrangements for providing appliance power management. A connector arrangement is provided for interconnecting an appliance with a power supply. There is identified, with respect to the appliance connected to the power supply, at least one of: an appliance category, a current operating state of the appliance, and a current standby state of the appliance. In response to the identifying of the at least one of: an appliance category, an appliance operating state and an appliance standby state, there is detected at least one of: anomalous appliance behavior and deficient power quality. Also, a control action is undertaken relative to the detection of the at least one of: anomalous appliance behavior and deficient power quality. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods and arrangements for managing electricity generation in a distributed electricity generation system. A plurality of data inputs are received comprising: a sensed state of a power grid; a sensed state of local energy storage; and a sensed demand of a local electricity load. The data inputs are combined, and, based on the combined data inputs, there is determined a destination of electricity that is generated in the distributed electricity generation system. The at least one destination is selected from the group consisting of: a local electricity load, the power grid, and the local energy storage. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods and arrangements for providing appliance power management. A connector arrangement is provided for interconnecting an appliance with a power supply. There is identified, with respect to the appliance connected to the power supply, at least one of: an appliance category, a current operating state of the appliance, and a current standby state of the appliance. In response to the identifying of the at least one of: an appliance category, an appliance operating state and an appliance standby state, there is detected at least one of: anomalous appliance behavior and deficient power quality. Also, a control action is undertaken relative to the detection of the at least one of: anomalous appliance behavior and deficient power quality. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods and arrangements for calculating a power budget. Data are received, the data including data relating to a current state of an electrical grid at a power-drawing location which draws at least one variable electrical load, the at least one variable electrical load being subject to variable pricing. At least one prediction is determined, the at least one prediction pertaining to a future state of the electrical grid and a future electrical load to be drawn at the power-drawing location. A power budget is thereupon calculated, with respect to the power-drawing location, based on the data and the at least one prediction. Other variants and embodiments are broadly contemplated herein.

Abstract: Methods and arrangements for load-shifting time deferrable devices. An electrical load scheduling mechanism is provided, and this is placed in communication with an appliance. Electrical grid load conditions are assessed, and delivery of electrical power to the appliance is scheduled via the electrical load scheduling mechanism.